Chevron Left
Voltar para Sequence Models

Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai

4.8
estrelas
26,853 classificações
3,182 avaliações

Sobre o curso

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

Melhores avaliações

WK
13 de Mar de 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

AM
30 de Jun de 2019

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

Filtrar por:

176 — 200 de 3,174 Avaliações para o Sequence Models

por Lucas O S

17 de Fev de 2018

Exercises too basic. Better to do something simpler from scratch, them fill in the blanks on statements like "define a to be a boolean variable initialized to True", and run a bunch of other cells with imported code that hides the actual complexity. These kind of exercises does not add anything to the student. Content of Andrew's lessons is great, however.

por Neelesh A

25 de Mar de 2020

This course helped get a good intuition as well as further specifics of voice recognition which is what I am most curious about.

I think they have put together a right mix of Conceptual puzzles, Implementable codes and Lucid lectures to help one learn and advance one's understanding and intuition framework to build on top of subsequently.

Great work guys!

por Gaurav K

23 de Mar de 2018

Thank you Prof Andrew Ng for sharing the knowledge and experience. It has been truly a great learning during the course specialization. And I always admire the way you structure the course and teach the advanced concepts with such an ease. With the power of AI, we as a community try to solve real-world challenges for better life. Thank you so much!

por Shifeng X

7 de Abr de 2018

awesome! Thanks to Andrew and his time to deliver this wonderful course. It really give me a very good sense about what's going on with the Deep Learning in several areas. The course material is prepared in a way that it's very easy to catch up. Just one suggestion, this sequence model session is too short, lots of topics haven't got well deployed.

por Martin B

22 de Mar de 2019

Very very interesting but it's a lot more difficult than the other courses. I did it out of sequence (no pun intended) (i.e. I skipped Convolutional networks to go straight to RNN, because they interest me more).

That wasn't the correct move. I barely knew anything about Keras, the exercises took a LOT more time. Still, it's a wonderful course.

por Alison

23 de Jun de 2020

The class lectures are easy to follow and programming practices showcase a good variety of interesting implementation/practice of sequence models. Not only does it introduce how models work and are constructed but also illustrate how those models can be applied to real-life problems (e.g. voice detection in smart home, music generation...etc.,).

por Dhruv B

6 de Jun de 2020

I have earlier completed first 3 courses of the Deep Learning Specialization. This course widens the horizon of deep learning applications. Through the assignments, I have gained confidence in understanding the model architecture and the underlying theory behind it. I recommend every to enroll for this course if they want to learn how RNN works.

por Wei H

10 de Jun de 2018

Great lectures on the intuitions behind RNN and their applications in real life. It requires some self-exploration to complete the programming assignments related to Keras and tensor, but the structure of the assignment is very good. I have learned a lot from this lecture and it helped me to understand the language of the field of deep learning.

por Pablo G G

10 de Set de 2020

Awesome course, with lot of detailed and well guided practices! After finishing all of them I went directly to look on GANs and Transformers and with the knowledge gain thanks to Andrew Ng and his team, I set up my local Jupyter with tensorflow-gpu and start using state-of-the-art machine learning! Check out paperswithcode for awesome projects!

por Nikhil D K

14 de Mai de 2020

I decided to do this course after reading the first few pages of the Deep Learning book by Goodfellow, Bengio and Courville. I'll probably go back to that book now, to reinforce what I learnt from this set of 5 courses. I plan to also get more practice with the programming frameworks. The Tensorflow specialization is probably my next conquest.

por CH L

22 de Mar de 2020

This course is really fantastic. It teaches several of the most important contemporary applications of deep learning, and mentions lots of important points of these models.

The assignments are amazing. They are easy but still able to make sure you've gone through the whole design of models.

Definitely one of the best lectures I had in my life.

por Andrii S

26 de Out de 2020

Many thanks to Professor Ng, this is absolutely the best online course that I've taken. It is fantastic how much value he creates for all of the learners, conveying very complex ideas from the world of deep learning in a simple and understandable way. I hope one day I will meet Professor Ng and thank him in person. An amazing specialization!

por Alam N

27 de Jan de 2019

Finally, after 6 months achieved desired goal in Deep Learning Specialization.

Thanks to #andrewng #coursera team for motivation and opportunity. It was not possible but due to #andrewng motivational words and explained deep knowledge in simple words. I can't express my feeling in words. Thanks again

Best wishes for Andrew Ng and Coursera Team

por juan m e b

21 de Mai de 2018

Excellent as always. This subjectcould easily take more weeks or even months to understand, but Andrew explains complicated concepts in very easy terms. Though sometimes it seems a bit esoteric and magical, due to how easy he makes it sound, it's a great start point to begin to investigate, read and implement the most important algorithms.

por Claes P

8 de Mar de 2018

This course challenged me. It forced me spend more time on the things you really need to understand before moving forward. Frustrating of course, but the reward is golden. It also tells me I need to learn more Keras. I was really inspired by the exercises, by all the things you actually can create by using the superpowers of deep learning.

por Alexandre C

22 de Fev de 2018

Excellent. I am doing a research on LTSM application for process plant data and asset health prognostics and the materials I found on the web were usually a bit "dry". The course enabled me understanding the concept mechanics and keras code basics to start using on my own applications - What else I could have asked for :D ?

Cheers/Alex

por Anurag W

10 de Jul de 2020

I had a lot of fun doing these courses and weekly programming assignments.

Mr. Andrew Ng is a great instructor, he does a great job of explaining the neural network architecture and helps create an intuition behind difficult concept, these are really helpful at the end of each week when you are practising the programming assignments.

por Siddharth B

11 de Jan de 2019

I am grateful to Professor Andrew Ng. and the entire team of deeplearning.ai for giving me the platform to learn, practice and showcase the deep learning concepts in such an elegant and concise manner. The journey has truly been educative and enlightening and I look forward to applying the concepts and skills in my further endeavors.

por Amit P

31 de Dez de 2018

Andrew's ability to make complex topics so easy to understand is amazing. His explanation of the 'intuition' behind complex stuff makes you really understand what is going on and why. Very happy with the course, it provided everything I needed to know to understand it in detail and implement it. Thanks Andrew for making this course.

por Senthil K B

29 de Jul de 2020

Very useful course for me, since I am doing research in Natural Language Processing. As NLP require RNN and its variants as its implementation, this course helped in implementing my task using the Seq2Seq model. Explanation about each topic is very clear. With respect to mathematical equations, all the models are neatly explained.

por michael z

29 de Set de 2019

An Amazing course which Imparts lots of knowledge.

The exercises of this course are very enjoyable and seem easy while providing really cool results, but in retrospect teach advanced material in such an engaging way that it only seems easy. The credit is with the incredible teachers of the course!

Thank you Andred Ng and all the TAs

por Vladimir L

5 de Jan de 2019

This is a great course, it gave me a good overview of how various types of data (written text, speech, images/video) are used in neural network models. The course materials smartly omit complexities behind pre-built deep learning models, and provide students with hands-on examples, which spark creativity and imagination. Thank you!

por RISHAV S

2 de Jan de 2019

The course is great and it builds on the last 4 course of deep learning specialization. It contains many nice topics of deep learning like RNN, NLP etc. There are some nice assignments also which you can relate with the real world. The whole Deep Learning specialization is great and every topic is nicely explained by Sir Andrew Ng.

por Parab N S

25 de Ago de 2019

Excellent Course on Sequence Models and training on how to use RNNs for practical applications. All the programming exercises were pretty fun and highly informative giving hands on experience on the use of a variety of sequence models. I would like to thank Professor Andre N.G. and his team for developing such a wonderful course.

por Rabih M

21 de Nov de 2020

Very Interesting course, well explained even if the topics are somehow difficult at certain points. Good and interesting Labs reflecting practical cases. But the problem was in Lab "Trigger word detection" where I encounter the error of not opening the lab and I try to solve it many times using the given solution before the lab.